A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

This collection contains multiple datasets and data products that are described in the following manuscript.

Prasad et al., A three-dimensional thalamocortical dataset for characterizing brain heterogeneity, 2020 [doi: https://doi.org/10.1101/2020.05.22.111617]

Abstract: Neural microarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures from the mouse brain. In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity

of neural structure.